White-Box Performance-Influence Models: A Profiling and Learning Approach (Replication Package)

These artifacts refer to the study and implementation of the paper 'White-Box Performance-Influence Models: A Profiling and Learning Approach'. In this document, we describe the idea and process of how to build white-box performance models for configurable software systems. Specifically, w...

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Vydáno v:2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) s. 232 - 233
Hlavní autoři: Weber, Max, Apel, Sven, Siegmund, Norbert
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.05.2021
Témata:
configuration management
Software engineering
Software measurement
software product lines
Software systems
software variability
ISBN:1665412194, 9781665412193
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Shrnutí:These artifacts refer to the study and implementation of the paper 'White-Box Performance-Influence Models: A Profiling and Learning Approach'. In this document, we describe the idea and process of how to build white-box performance models for configurable software systems. Specifically, we describe the general steps and tools that we have used to implement our approach, the data we have obtained, and the evaluation setup. We further list the available artifacts, such as raw measurements, configurations, and scripts at our software heritage repository.
ISBN:1665412194
9781665412193
DOI:10.1109/ICSE-Companion52605.2021.00107